Flow control method and device in privacy intersection task, equipment and medium

Abstract

The invention discloses a flow control method and device in a privacy intersection task, equipment, a medium and a product. The method comprises the following steps: in response to a privacy intersection operation of a user on a customer, generating at least one privacy intersection request based on the privacy intersection operation of the user; locally acquiring target privacy data matched with the privacy intersection request based on the privacy intersection request; monitoring real-time traffic data of the client in real time, and calculating to obtain a real-time traffic result of the client based on the real-time traffic data; and sending the target privacy data to a client based on the real-time flow result, so that the client displays the target privacy data. By means of the technical scheme, flow control in the privacy intersection task can be achieved, the flexibility of flow control operation is improved, and then the execution efficiency and the execution success rate of the privacy intersection task are improved.

Description

Technical Field

[0001] The present invention relates to the field of privacy computing, and in particular to a flow control method, device, equipment and medium in a privacy intersection task. Background Art

[0002] In today's digital age, the importance of personal privacy has become increasingly prominent, and data privacy protection has become a key issue that cannot be ignored in the field of technology. As a key technology, privacy intersection can accurately find the intersection between two or more data sets while ensuring that the privacy of each party's data set is not leaked. Therefore, it has attracted much attention and has been widely used in many fields.

[0003] However, in the actual application scenarios of privacy intersection, there are many challenges. Due to the limitations of the server's own performance and the limited network bandwidth, when processing large amounts of data intersection operations, the system load often increases sharply, and even causes serious congestion of the network dedicated line. In order to ensure the smooth progress of the privacy intersection task, a system that can stably and efficiently control data traffic is crucial.

[0004] However, existing privacy intersection methods have obvious deficiencies in data flow control. They usually limit traffic by simply setting a rate cap based on network bandwidth. This approach lacks flexibility and cannot dynamically adjust the flow control strategy based on real-time changes. This can easily lead to excessive system load, which not only greatly affects the efficiency of task execution, but in severe cases, can even cause task execution failure, and cannot meet increasingly complex and diverse business needs.

[0005] In summary, the existing flow control methods in the privacy intersection task have poor flexibility, resulting in low execution efficiency and execution success rate of the privacy intersection task. Summary of the invention

[0006] The present invention provides a method, device, equipment and medium for flow control in a privacy intersection task, which can solve the problem of low execution efficiency and execution success rate of the privacy intersection task caused by poor flexibility of the flow control method in the privacy intersection task.

[0007] In a first aspect, an embodiment of the present invention provides a method for flow control in a privacy intersection task, the method comprising:

[0008] In response to a privacy intersection operation of a user on a client, generating at least one privacy intersection request based on the privacy intersection operation of the user;

[0009] Based on the privacy intersection request, locally obtain target privacy data matching the privacy intersection request;

[0010] Monitor the real-time traffic data of the client in real time, and calculate the real-time traffic result of the client based on the real-time traffic data;

[0011] The target private data is sent to the client based on the real-time traffic result for display by the client.

[0012] In a second aspect, an embodiment of the present invention provides a flow control device in a privacy intersection task, the device comprising:

[0013] A request generation module, configured to generate at least one privacy exchange request based on the user's privacy exchange operation in response to the user's privacy exchange operation on the client;

[0014] A data search module, configured to locally acquire target private data matching the privacy intersection request based on the privacy intersection request;

[0015] A flow calculation module, used for monitoring the real-time flow data of the client in real time, and calculating the real-time flow result of the client based on the real-time flow data;

[0016] The display module is used to send the target privacy data to the client based on the real-time traffic result for display by the client.

[0017] In a third aspect, an embodiment of the present invention provides an electronic device, the electronic device comprising:

[0018] at least one processor; and

[0019] a memory communicatively connected to the at least one processor; wherein,

[0020] The memory stores a computer program that can be executed by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute a flow control method in a privacy intersection task described in any embodiment of the present invention.

[0021] In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, wherein the computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement a flow control method in a privacy intersection task described in any embodiment of the present invention when executed.

[0022] In a fifth aspect, an embodiment of the present invention provides a computer program product, which includes a computer program. When the computer program is executed by a processor, it implements a flow control method in a privacy intersection task described in any embodiment of the present invention.

[0023] The technical solution of the embodiment of the present invention first responds to the user's privacy intersection operation on the client, generates at least one privacy intersection request based on the user's privacy intersection operation, then locally obtains the target privacy data matching the privacy intersection request based on the privacy intersection request, monitors the real-time traffic data of the client in real time, and calculates the real-time traffic result of the client based on the real-time traffic data, and finally sends the target privacy data to the client based on the real-time traffic result for display by the client, thereby solving the problem of low execution efficiency and execution success rate of the privacy intersection task due to poor flexibility of the traffic control method in the privacy intersection task, realizing traffic control in the privacy intersection task, improving the flexibility of the traffic control operation, and thereby improving the execution efficiency and execution success rate of the privacy intersection task.

[0024] It should be understood that the contents described in this section are not intended to identify the key or important features of the embodiments of the present invention, nor are they intended to limit the scope of the present invention. Other features of the present invention will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0026] Figure 1 is a flow chart of a method for flow control in a privacy intersection task provided according to the first embodiment of the present invention;

[0027] Figure 2 is a flow chart of a method for flow control in a privacy intersection task provided according to Embodiment 2 of the present invention;

[0028] Figure 3 is a structural schematic diagram of a flow control device in a privacy intersection task provided according to Embodiment 3 of the present invention;

[0029] Figure 4 It is a structural schematic diagram of an electronic device for implementing a flow control method in a privacy intersection task according to an embodiment of the present invention. DETAILED DESCRIPTION

[0030] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0031] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, any variation of the terms "including" and "having" is intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0032] Embodiment 1

[0033] Figure 1 A flow chart of a method for flow control in a privacy intersection task provided in Example 1 of the present invention. This embodiment is applicable to the situation where flow control is performed on the flow in a privacy intersection task. The method can be executed by a flow control device in the privacy intersection task. The flow control device in the privacy intersection task can be implemented in the form of hardware and / or software. The flow control device in the privacy intersection task can be configured in a terminal or server with a flow control function in a privacy intersection task.

[0034] like Figure 1 As shown, the method includes:

[0035] S110 . In response to a privacy intersection operation of a user on a client, generate at least one privacy intersection request based on the privacy intersection operation of the user.

[0036] In this embodiment, the privacy intersection task is to accurately find the common parts between two or more data sets under the premise of protecting the privacy of each party's data set from being leaked. For example, in the financial field, in order to find out the customer group with loan records in two banks at the same time without exposing the customer's specific account information, this process is a privacy intersection task; further, the flow control refers to the measures to manage and adjust the flow size and flow speed during data transmission. By limiting, allocating or adjusting the data transmission rate, network congestion can be avoided, system load can be reduced, and service quality can be guaranteed. For example, in online video playback, the video bit rate is dynamically adjusted according to the user's network bandwidth and server load to ensure smooth video playback without jamming. This is an application of flow control. In the privacy intersection task, flow control aims to reasonably allocate data traffic, make the intersection process stable and efficient, and prevent task failure or system failure due to excessive data traffic.

[0037] Specifically, when a user has a need to perform a privacy intersection operation on customer-related data, based on the privacy intersection operation initiated by the user, the system will generate at least one corresponding privacy intersection request, wherein the privacy intersection request can be understood as an instruction containing detailed information such as the scope of the intersection data set, the conditions and rules for the intersection, the required security encryption level, etc. For example, a privacy intersection request may stipulate that only customer data within a specific time period and with a consumption amount exceeding a certain threshold shall be intersected, and require the use of a specific encryption algorithm to ensure privacy security during data transmission and processing.

[0038] S120: Based on the privacy intersection request, locally obtain target privacy data that matches the privacy intersection request.

[0039] The target privacy data refers to a data set that complies with a specific privacy intersection request and can meet its conditions and requirements; specifically, based on the privacy intersection request, the target privacy data that accurately matches the request is obtained in the local storage area. This means that the system will screen and extract a data subset that fully meets these conditions from the local huge data set based on the detailed requirements set in the request, such as data range, specific conditions, and related attributes, as the basis and basis for subsequent privacy intersection operations.

[0040] S130: Monitor the real-time traffic data of the client in real time, and calculate the real-time traffic result of the client based on the real-time traffic data.

[0041] Among them, real-time monitoring of the real-time traffic data of the client includes: continuously obtaining the current time of the system and determining the target time period based on the user's privacy intersection operation, and at the same time monitoring the traffic value flowing into the client and the traffic value flowing out of the client during the target time period and sending them to the traffic analysis module.

[0042] Furthermore, the real-time traffic result of the client is calculated based on the real-time traffic data, including: after receiving the real-time traffic data sent by the network monitoring module, calculating the average outflow and average inflow of the client within the target time period; using the least squares method to fit the received average outflow, average inflow and the real-time traffic data to obtain a real-time traffic result that matches the target time period.

[0043] The real-time traffic data refers to the traffic information about client data transmission that is continuously updated and obtained in a very short time interval. For example, in an online video conference scenario, the amount of video data received and sent by the client per second is the real-time traffic data.

[0044] In this embodiment, real-time monitoring of the real-time traffic data of the client specifically includes the following steps: continuously obtaining the current time of the system, and clarifying the target time period according to the user's privacy intersection operation. For example, the user performs a privacy intersection operation and sets the target time period to 9:00 to 10:00 a.m. During this period, the traffic value flowing into the client and the traffic value flowing out of the client in the target time period are monitored at the same time, and these data are sent to the traffic analysis module.

[0045] Furthermore, the real-time traffic result of the client is calculated based on the real-time traffic data, and the process is as follows: after receiving the real-time traffic data sent by the network monitoring module, the average outflow and average inflow of the client in the target time period are calculated. For example, for a file download client, within the target time period of 1 hour, the average amount of downloaded data per second (average inflow) and the average amount of uploaded feedback data per second (average outflow) are calculated during this period. Then, the received average outflow, average inflow and real-time traffic data are fitted using the least squares method to obtain the real-time traffic result that matches the target time period. This fitting process can more accurately reflect the traffic change law and trend of the client in a specific time period, and provide strong support for subsequent traffic control and optimization.

[0046] The least squares fitting method is a method for determining the parameters of the fitting function by minimizing the sum of squares of the errors between the observed data points and the calculated values ​​of the fitting function. Specifically, suppose we have a set of observed data points (x1, y1), (x2, y2), ..., (x n ,y n), and we want to fit this data with a function y = f(x; θ), where θ is the parameter of the function. The goal of the least squares method is to find a set of parameters θ such that the sum of the squares of the errors S = Σ(y i -f(x i ;θ)) 2 Reach the minimum. Accordingly, in this embodiment, the average outflow, the average inflow and the real-time flow data, i.e., the observed data points in the least squares fitting, the final fitting result is the real-time flow result matching the target time period, and the real-time flow result can be used to describe and express the instantaneous flow status of the current data transmission in the form of a function.

[0047] S140: Send the target private data to the client based on the real-time traffic result, so that the client can display it.

[0048] The technical solution of the embodiment of the present invention first responds to the user's privacy intersection operation on the client, generates at least one privacy intersection request based on the user's privacy intersection operation, then locally obtains target privacy data matching the privacy intersection request based on the privacy intersection request, monitors the real-time traffic data of the client in real time, and calculates the real-time traffic result of the client based on the real-time traffic data, and finally sends the target privacy data to the client based on the real-time traffic result for display by the client, thereby realizing traffic control in the privacy intersection task, improving the flexibility of the traffic control operation, and thereby improving the execution efficiency and execution success rate of the privacy intersection task.

[0049] Embodiment 2

[0050] Figure 2 A flow chart of a method for flow control in a privacy intersection task provided in the second embodiment of the present invention is provided. This embodiment is refined based on the above embodiment. In this embodiment, specifically, a method for sending the target privacy data to the client based on the real-time flow result is refined.

[0051] like Figure 2 As shown, the method includes:

[0052] S210 . In response to a privacy intersection operation of a user on a client, generate at least one privacy intersection request based on the privacy intersection operation of the user.

[0053] S220: Locally obtain target private data matching the privacy intersection request based on the privacy intersection request.

[0054] S230: monitor the real-time traffic data of the client in real time, and calculate the real-time traffic result of the client based on the real-time traffic data.

[0055] S240: Obtain a preset maximum transmission flow and a target time window.

[0056] The target time window is a planned time period for sending the target private data to the client.

[0057] Among them, the maximum transmission flow refers to the maximum flow value allowed for data transmission in a specific network environment or system setting. For example, in an internal file transfer system of an enterprise, in order to ensure the stable operation of the network, the maximum transmission flow may be set to 100 megabytes per second; further, the target time window is a pre-set specific time period, which is the planned interval for sending the target privacy data to the client. For example, in the data analysis of an e-commerce platform, it is planned to transmit the target privacy data about the user's consumption behavior to the client during the time period from 10 am to 11 am, then this 10 am to 11 am is the target time window. Furthermore, the target time window mentioned here is clearly the planned time period for sending the target privacy data to the client. It is set to ensure that the data can be accurately and orderly transmitted to the client within the expected time range to meet relevant business needs or data analysis requirements.

[0058] S250. Based on the real-time traffic result and the target time window, a traffic prediction result matching the target time window is calculated.

[0059] Based on the above steps, since the real-time traffic results can be used to describe and express the instantaneous traffic status of the current data transmission in the form of a function, the time axis of the target time window is processed using the real-time traffic results to obtain a traffic prediction result that matches the current time axis.

[0060] S260: Send the target private data to the client according to the traffic prediction result and the maximum transmission traffic, so that the client can display it.

[0061] Specifically, the target privacy data is sent to the client according to the traffic prediction result and the maximum transmission traffic, including: determining whether there is at least one target time point in the traffic prediction result and the traffic prediction data corresponding to the target time point is greater than the preset maximum transmission traffic; when it is determined that there is at least one target time point, obtaining the target data that needs to be sent at the target time point, and dividing the target data into main body data and remaining data and sending them to the data sending unit, wherein the data size of the main body data is equal to the maximum transmission traffic, and the sum of the main body data and the remaining data is the target data; when local data is received, the main body data is sent to the client within the target time window according to the real-time traffic result, and at the same time, the remaining data is delayed in sending when it is received.

[0062] Specifically, the target privacy data is sent to the client according to the traffic prediction result and the maximum transmission flow, including the following steps: first, it is determined whether there is at least one target time point in the traffic prediction result corresponding to the traffic prediction data exceeding the preset maximum transmission flow. For example, during the promotion of an online shopping platform, it is predicted that the traffic at a certain hour may exceed the maximum transmission flow. When it is determined that there is at least one such target time point, the target data to be sent at the target time point is obtained, and the target data is divided into the main body data and the remaining data and then sent to the data sending unit. The "main body data" here has a data size equal to the maximum transmission flow. The "remaining data" is the part of the target data that exceeds the maximum transmission flow. For example, 800 megabytes of data need to be sent at a certain moment, and the maximum transmission flow is 500 megabytes, then 500 megabytes is the main body data, and 300 megabytes is the remaining data. When receiving local data, the main body data is sent to the client according to the real-time traffic result within the target time window. That is, according to the real-time network conditions and transmission capacity, the main body data is transmitted within the specified time range. At the same time, when the remaining data is received, the remaining data is delayed. For example, ensure the timely transmission of the main body data first, and for the remaining data, wait until the network load is reduced and the transmission conditions permit before sending it, so as to avoid network congestion and data loss, and ensure that the client can receive the target privacy data completely and timely and display it.

[0063] Optionally, after determining whether there is at least one target time point in the traffic prediction result whose corresponding traffic prediction data is greater than the preset maximum transmission traffic, it also includes: when it is determined that there is no target time point, obtaining the target data that needs to be sent at that time point, and setting the target data as the main body data.

[0064] The technical solution of the embodiment of the present invention first responds to the user's privacy intersection operation on the client, generates at least one privacy intersection request based on the user's privacy intersection operation, then locally obtains the target privacy data matching the privacy intersection request based on the privacy intersection request, monitors the real-time traffic data of the client in real time, and calculates the real-time traffic result of the client based on the real-time traffic data, then obtains the preset maximum transmission traffic and target time window, calculates the traffic prediction result matching the target time window based on the real-time traffic result and the target time window, and finally sends the target privacy data to the client according to the traffic prediction result and the maximum transmission traffic for display by the client, thereby realizing traffic control in the privacy intersection task, improving the flexibility of the traffic control operation, and thereby improving the execution efficiency and execution success rate of the privacy intersection task.

[0065] Embodiment 3

[0066] Figure 3 This is a schematic diagram of the structure of a flow control device in a privacy intersection task provided by the third embodiment of the present invention. Figure 3 As shown, the device comprises:

[0067] A request generation module 310, for generating at least one privacy exchange request based on the user's privacy exchange operation in response to the user's privacy exchange operation on the client;

[0068] A data search module 320, configured to locally acquire target private data matching the privacy intersection request based on the privacy intersection request;

[0069] The traffic calculation module 330 is used to monitor the real-time traffic data of the client in real time, and calculate the real-time traffic result of the client based on the real-time traffic data;

[0070] The display module 340 is used to send the target privacy data to the client based on the real-time traffic result for display by the client.

[0071] The technical solution of the embodiment of the present invention first responds to the user's privacy intersection operation on the client, generates at least one privacy intersection request based on the user's privacy intersection operation, then locally obtains target privacy data matching the privacy intersection request based on the privacy intersection request, monitors the real-time traffic data of the client in real time, and calculates the real-time traffic result of the client based on the real-time traffic data, and finally sends the target privacy data to the client based on the real-time traffic result for display by the client, thereby realizing traffic control in the privacy intersection task, improving the flexibility of the traffic control operation, and thereby improving the execution efficiency and execution success rate of the privacy intersection task.

[0072] Based on the above embodiment, the traffic calculation module 330 is specifically used to: continuously obtain the current time of the system and determine the target time period based on the user's privacy intersection operation, and at the same time monitor the traffic value flowing into the client and the traffic value flowing out of the client during the target time period and send them to the traffic analysis module.

[0073] Based on the above embodiment, the flow calculation module 330 includes:

[0074] The average flow calculation unit is used to calculate the average outgoing flow and the average incoming flow of the client within the target time period after receiving the real-time flow data sent by the network monitoring module;

[0075] The fitting unit is used to fit the received average outflow, average inflow and the real-time flow data using the least square method to obtain a real-time flow result matching the target time period.

[0076] Based on the above embodiment, the display module 340 specifically includes:

[0077] A data acquisition unit, used to acquire a preset maximum transmission flow and a target time window, wherein the target time window is a planned time period for sending the target private data to the client;

[0078] A prediction result calculation unit, used to calculate a flow prediction result matching the target time window based on the real-time flow result and the target time window;

[0079] The data sending unit is used to send the target private data to the client according to the traffic prediction result and the maximum transmission traffic.

[0080] Based on the above embodiment, the data sending unit includes:

[0081] A flow determination unit, configured to determine whether in the flow prediction result there is at least one flow prediction data corresponding to a target time point greater than a preset maximum transmission flow;

[0082] A data segmentation unit, for, when it is determined that there is at least one target time point, obtaining target data to be sent at the target time point, and segmenting the target data into body data and remaining data and then sending the data to the data sending unit, wherein the data size of the body data is equal to the maximum transmission flow, and the sum of the body data and the remaining data is the target data;

[0083] The delayed sending unit is used to send the main body data to the client within the target time window according to the real-time traffic result when receiving the local data, and to delay the sending operation of the remaining data when receiving the remaining data.

[0084] Based on the above embodiment, the traffic judgment unit is also used to: determine whether there is at least one target time point in the traffic prediction result whose corresponding traffic prediction data is greater than the preset maximum transmission traffic; when it is determined that there is no target time point, obtain the target data that needs to be sent at that time point, and set the target data as the main body data.

[0085] The flow control device in the privacy intersection task provided by the embodiment of the present invention can execute the flow control method in the privacy intersection task provided by any embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the execution method.

[0086] Embodiment 4

[0087] Figure 4 A schematic diagram of the structure of an electronic device 10 that can be used to implement an embodiment of the present invention is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices (such as helmets, glasses, watches, etc.) and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present invention described and / or required herein.

[0088] like Figure 4 As shown, the electronic device 10 includes at least one processor 11, and a memory connected to the at least one processor 11, such as a read-only memory (ROM) 12, a random access memory (RAM) 13, etc., wherein the memory stores a computer program that can be executed by at least one processor, and the processor 11 can perform various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 12 or the computer program loaded from the storage unit 18 to the random access memory (RAM) 13. In the RAM 13, various programs and data required for the operation of the electronic device 10 can also be stored. The processor 11, ROM 12 and RAM 13 are connected to each other through a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.

[0089] A number of components in the electronic device 10 are connected to the I / O interface 15, including: an input unit 16, such as a keyboard, a mouse, etc.; an output unit 17, such as various types of displays, speakers, etc.; a storage unit 18, such as a disk, an optical disk, etc.; and a communication unit 19, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0090] The processor 11 may be a variety of general and / or special processing components with processing and computing capabilities. Some examples of the processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any appropriate processor, controller, microcontroller, etc. The processor 11 executes the various methods and processes described above, such as the flow control method in the privacy intersection task.

[0091] Accordingly, the method comprises:

[0092] In response to a privacy intersection operation of a user on a client, generating at least one privacy intersection request based on the privacy intersection operation of the user;

[0093] Based on the privacy intersection request, locally obtain target privacy data matching the privacy intersection request;

[0094] Monitor the real-time traffic data of the client in real time, and calculate the real-time traffic result of the client based on the real-time traffic data;

[0095] The target private data is sent to the client based on the real-time traffic result for display by the client.

[0096] In some embodiments, the flow control method in the privacy intersection task can be implemented as a computer program, which is tangibly contained in a computer-readable storage medium, such as a storage unit 18. In some embodiments, part or all of the computer program can be loaded and / or installed on the electronic device 10 via the ROM 12 and / or the communication unit 19. When the computer program is loaded into the RAM 13 and executed by the processor 11, one or more steps of the flow control method in the privacy intersection task described above can be performed. Alternatively, in other embodiments, the processor 11 can be configured to perform the flow control method in the privacy intersection task in any other appropriate manner (for example, by means of firmware).

[0097] Various implementations of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various implementations can include: being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0098] Computer programs for implementing the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, so that when the computer program is executed by the processor, the functions / operations specified in the flow chart and / or block diagram are implemented. The computer program may be executed entirely on the machine, partially on the machine, partially on the machine and partially on a remote machine as a stand-alone software package, or entirely on a remote machine or server.

[0099] In the context of the present invention, a computer-readable storage medium may be a tangible medium that may contain or store a computer program for use by or in combination with an instruction execution system, device or equipment. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices or equipment, or any suitable combination of the foregoing. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0100] To provide interaction with a user, the systems and techniques described herein may be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and a pointing device (e.g., a mouse or trackball) through which the user can provide input to the electronic device. Other types of devices may also be used to provide interaction with the user; for example, the feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form (including acoustic input, voice input, or tactile input).

[0101] The systems and techniques described herein may be implemented in a computing system that includes backend components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes frontend components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such backend components, middleware components, or frontend components. The components of the system may be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), a blockchain network, and the Internet.

[0102] A computing system may include a client and a server. The client and the server are generally remote from each other and usually interact through a communication network. The client and server relationship is generated by computer programs running on the corresponding computers and having a client-server relationship with each other. The server may be a cloud server, also known as a cloud computing server or cloud host, which is a host product in the cloud computing service system to solve the defects of difficult management and weak business scalability in traditional physical hosts and VPS services.

[0103] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps described in the present invention can be executed in parallel, sequentially or in different orders, as long as the desired results of the technical solution of the present invention can be achieved, and this document does not limit this.

Claims

1. A flow control method in a privacy intersection task, characterized in that: include: In response to a privacy intersection operation of a user on a client, generating at least one privacy intersection request based on the privacy intersection operation of the user; Based on the privacy intersection request, locally obtain target privacy data matching the privacy intersection request; Monitor the real-time traffic data of the client in real time, and calculate the real-time traffic result of the client based on the real-time traffic data; The target private data is sent to the client based on the real-time traffic result for display by the client.

2. The method according to claim 1, characterized in that: Real-time monitoring of the real-time traffic data of the client, including: The current time of the system is continuously obtained and a target time period is determined based on the privacy intersection operation of the user, and the flow value flowing into the client and the flow value flowing out of the client during the target time period are monitored and sent to the flow analysis module.

3. The method according to any one of claims 1 to 2, characterized in that: The real-time traffic result of the client is calculated based on the real-time traffic data, including: After receiving the real-time traffic data sent by the network monitoring module, calculate the average outgoing traffic and average incoming traffic of the client within the target time period; The received average outflow, average inflow and the real-time flow data are fitted using the least squares method to obtain a real-time flow result matching the target time period.

4. The method according to claim 1, characterized in that: Sending the target private data to the client based on the real-time traffic result specifically includes: Obtaining a preset maximum transmission flow and a target time window, wherein the target time window is a planned time period for sending the target private data to the client; Based on the real-time traffic result and the target time window, a traffic prediction result matching the target time window is calculated; The target private data is sent to the client according to the traffic prediction result and the maximum transmission traffic.

5. The method according to claim 4, characterized in that The target private data is sent to the client according to the traffic prediction result and the maximum transmission traffic, including: Determine whether there is at least one target time point in the traffic prediction result where the traffic prediction data corresponding to the target time point is greater than the preset maximum transmission traffic; When it is determined that there is at least one target time point, target data to be sent at the target time point is obtained, and the target data is divided into main body data and remaining data and then sent to the data sending unit, wherein the data size of the main body data is equal to the maximum transmission flow, and the sum of the main body data and the remaining data is the target data; When local data is received, the main body data is sent to the client within the target time window according to the real-time traffic result, and when the remaining data is received, the remaining data is delayed and sent.

6. The method according to claim 5, characterized in that After determining whether there is at least one target time point in the traffic prediction result with traffic prediction data greater than a preset maximum transmission traffic, the method further includes: When it is determined that there is no target time point, the target data that needs to be sent at the time point is acquired, and the target data is set as the main body data.

7. A flow control device in a privacy intersection task, characterized in that: include: A request generation module, configured to generate at least one privacy exchange request based on the user's privacy exchange operation in response to the user's privacy exchange operation on the client; A data search module, configured to locally acquire target private data matching the privacy intersection request based on the privacy intersection request; A flow calculation module, used for monitoring the real-time flow data of the client in real time, and calculating the real-time flow result of the client based on the real-time flow data; The display module is used to send the target privacy data to the client based on the real-time traffic result for display by the client.

8. An electronic device, characterized in that: The electronic device comprises: at least one processor; and a memory communicatively connected to the at least one processor; wherein, The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute a flow control method in a privacy intersection task as described in any one of claims 1-6.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement a flow control method in a privacy intersection task according to any one of claims 1 to 6 when executed.

10. A computer program product, characterized in that The computer program product comprises a computer program, and when the computer program is executed by a processor, the computer program implements a flow control method in a privacy intersection task according to any one of claims 1-6.

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